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Record W4405817198 · doi:10.1186/s13018-024-05318-2

Factors associated with poor hip flexion range of motion after total hip arthroplasty in patients with ankylosing spondylitis: a retrospective study on 538 consecutive hips

2024· article· en· W4405817198 on OpenAlexaboutno aff
Liangliang Li, Jun Fu, Chi Xu, Ming Ni, Wei Chai, Libo Hao, Yonggang Zhou, Jiying Chen

Bibliographic record

VenueJournal of Orthopaedic Surgery and Research · 2024
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
FundersShanxi Medical University
KeywordsMedicineRange of motionWOMACAnkylosing spondylitisHarris Hip ScoreOrthopedic surgeryArthroplastyRetrospective cohort studySurgeryOsteoarthritisPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: This study aimed to report the mid-term functional outcomes of total hip arthroplasty (THA) for the treatment of advanced hip involvement in ankylosing spondylitis (AS) and identify the factors associated with poor hip flexion range of motion (ROM) after THA in patients with AS. METHODS: We retrospectively investigated the mid-term functional outcomes in 313 AS patients (538 hips) who underwent primary THA from 2012 to 2017, with a mean follow-up of 7 years (range, 4-9 years). Postoperative functional outcomes were assessed by hip flexion ROM, Harris hip score (HHS), and the Western Ontario and McMaster Universities Arthritis Index (WOMAC). The hips were divided into poor (≤ 90°) and good hip flexion ROM (> 90°) groups based on the degree of hip flexion ROM recorded at the most recent follow-up. We grouped factors related to postoperative hip flexion ROM into three categories: preoperative (or patient-related), intraoperative (or surgery-related), and postoperative factors. Multivariate logistic regression was performed to identify the independent factors associated with postoperative poor hip flexion ROM. RESULTS: The overall flexion-extension ROM improved significantly with a median from 0° (0 ~ 120°) to 100° (30 ~ 130°) after THA (P < 0.001), and the mean HHS increased from 37 to 90 (P < 0.001). There were 102 hips (19%) with a hip flexion ROM of no more than 90°. The poor hip flexion ROM group had significantly lower postoperative HHS and WOMAC than the good hip flexion ROM group (85 ± 6 vs. 91 ± 4, P < 0.001; 63 ± 16 vs. 32 ± 16, P < 0.001). The result of multivariate logistic regression showed that male sex (odds ratio [OR] = 9.42, 95% confidence interval [CI], 1.23 to 72.03), bony ankylosis (OR = 3.02, 95%CI, 1.76 to 5.17), cup anteversion angle (OR = 0.96, 95%CI, 0.93 to 0.98), cup inclination angle (OR = 0.96, 95%CI, 0.93 to 0.99), American Society of Anesthesiologists (ASA) class III (OR = 6.23, 95%CI, 1.83 to 21.70), knee involvement (OR = 7.80, 95%CI, 2.75 to 22.16), and noise (OR = 0.45, 95%CI, 0.25 to 0.81) were independent factors associated with poor hip flexion ROM after THA in patients with AS. CONCLUSION: Nearly one out of the five hips in patients with AS have a poor hip flexion ROM after THA. Care has to be taken in acetabular component positioning during THA and its effect on the postoperative hip flexion function should be considered in the patients. The optimum treatment strategy is that THA should be performed before ankylosis in patients with AS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.313
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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